Literature DB >> 18364521

Validity of 2 devices for measuring steps taken by older adults in assisted-living facilities.

Randall J Bergman1, David R Bassett, Suresh Muthukrishnan, Diane A Klein.   

Abstract

BACKGROUND: This 2-part study examined validity of selected motion sensors for assessing physical activity in older adults residing in assisted-living communities.
METHODS: Twenty-one older adults (mean age = 78.6 +/- 13.1 years) wore the StepWatch 3 Step Activity Monitor (SW3) and the Yamax Digi-Walker SW-200 pedometer (DW). Part I compared accuracy of these devices for measuring steps taken over 161 m. Part II compared devices over a 1-day (24-hour) period.
RESULTS: In part I, the DW recorded 51.9% (r2 = -.08, P = .75) and the SW3 recorded 102.6% (r2 = .99, P < .001) of steps. In part II, the DW measured significantly fewer steps (1587 +/- 1057 steps) than did the SW3 (6420 +/- 3180 steps).
CONCLUSIONS: The SW3 pedometer was more accurate in counting steps and recorded higher 24-hour step counts than the DW pedometer. Thus, the SW3 is a valid research instrument for monitoring activity in the assisted-living population.

Mesh:

Year:  2008        PMID: 18364521     DOI: 10.1123/jpah.5.s1.s166

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  19 in total

1.  Factors associated with exercise behavior in people with Parkinson disease.

Authors:  Terry Ellis; James T Cavanaugh; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Lisa Fredman; Jennifer K Boudreau; Leland E Dibble
Journal:  Phys Ther       Date:  2011-10-14

2.  Step activity monitoring in lumbar stenosis patients undergoing decompressive surgery.

Authors:  Tobias L Schulte; Tim Schubert; Corinna Winter; Mirko Brandes; Lars Hackenberg; Hansdetlef Wassmann; Dennis Liem; Dieter Rosenbaum; Viola Bullmann
Journal:  Eur Spine J       Date:  2010-02-26       Impact factor: 3.134

Review 3.  Best practices for using physical activity monitors in population-based research.

Authors:  Charles E Matthews; Maria Hagströmer; David M Pober; Heather R Bowles
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

4.  Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Authors:  Whitney A Welch; David R Bassett; Dixie L Thompson; Patty S Freedson; John W Staudenmayer; Dinesh John; Jeremy A Steeves; Scott A Conger; Tyrone Ceaser; Cheryl A Howe; Jeffer E Sasaki; Eugene C Fitzhugh
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

5.  Step detection using multi- versus single tri-axial accelerometer-based systems.

Authors:  E Fortune; V A Lugade; S Amin; K R Kaufman
Journal:  Physiol Meas       Date:  2015-11-23       Impact factor: 2.833

6.  Barriers to exercise in people with Parkinson disease.

Authors:  Terry Ellis; Jennifer K Boudreau; Tamara R DeAngelis; Lisa E Brown; James T Cavanaugh; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Leland E Dibble
Journal:  Phys Ther       Date:  2013-01-03

7.  Nonlinear analysis of ambulatory activity patterns in community-dwelling older adults.

Authors:  James T Cavanaugh; Naomi Kochi; Nicholas Stergiou
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-10-12       Impact factor: 6.053

8.  Assessment of Physical Activity of Hospitalised Older Adults: A Systematic Review.

Authors:  S E R Lim; K Ibrahim; A A Sayer; H C Roberts
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

9.  Passive and In-situ Assessment of Mental and Physical Well-being using Mobile Sensors.

Authors:  Mashfiqui Rabbi; Shahid Ali; Tanzeem Choudhury; Ethan Berke
Journal:  Proc ACM Int Conf Ubiquitous Comput       Date:  2011

Review 10.  Direct and indirect measurement of physical activity in older adults: a systematic review of the literature.

Authors:  Kristina Kowalski; Ryan Rhodes; Patti-Jean Naylor; Holly Tuokko; Stuart MacDonald
Journal:  Int J Behav Nutr Phys Act       Date:  2012-12-18       Impact factor: 6.457

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